Remind, emailed users late Monday to tell them that Verizon had decided to treat their messages as spam — a move that would make it impossible to continue distributing messages for free. The change would affect 7 million of the service’s 31 million users
Remind officials said the company had been trying to negotiate with Verizon since last summer, when the company first announced the rate increase. (They also said they are locked in a similar conflict with a telecommunications company in Canada.)
An interesting discussion on the use of blockchain for academic libraries on the LITA listserv
in response to a request from the Library Association in Pakistan for an hour long session on “block chain and its applications for Academic Libraries”.
While Nathan Schwartz, MSIS Systems & Reference Librarian find blockchain only related to cryptocurrencies, Jason Griffey offers a MOOC focused on Blockchain for the Information Professions: https://ischoolblogs.sjsu.edu/blockchains/
According to Jason, “Blockchain, as a data storage technology, can be separated from the idea of cryptocurrencies and expressions of value and coin.”
Educators seeking new technology can start by consulting a database of pre-vetted edtech tools, rated based on alignment with both child data privacy laws and the district’s instructional vision. Each entry includes notes about what the software does, how it can be used in the classroom, and the appropriate age level. Kaye is also working on aligning the database to the ISTE Standards so teachers can see at a glance which standards each tool can help them meet.
Every app falls into one of four categories:
Tools the district approves, supports, pays for, and will train teachers to use.
Tools that are approved and can be freely used on an independent basis.
Tools that are approved with stipulations, such as age or parental permission requirements.
Tools that are not approved because they don’t align with the district’s vision or data privacy needs.
Teachers can request to have a tool vetted
Teachers who choose a pre-vetted app from the approved list can start using it right away, without any further action needed. Educators who have a specific tool in mind that hasn’t yet been vetted can submit a request form that asks questions such as:
How does the tool connect to the curriculum?
Will students be consumers or producers when using it?
How easy is it to learn and use?
What are some of the things they plan on doing with it?
This is a free event, thanks to our founding conference sponsor: School of Information at San José State University.
ATTENDING: We will send links for attending the conference a day or two before the event.
If you have friends or colleagues that wish to attend, this is a free event and we encourage you to share our information widely. However, please send them to the conference registration page (https://www.library20.com/instructionaldesign) rather than giving them the above link directly as it will allow us to track participation.
Way back in 1983, I identified A.I. as one of 20 exponential technologies that would increasingly drive economic growth for decades to come.
Artificial intelligence applies to computing systems designed to perform tasks usually reserved for human intelligence using logic, if-then rules, decision trees and machine learning to recognize patterns from vast amounts of data, provide insights, predict outcomes and make complex decisions. A.I. can be applied to pattern recognition, object classification, language translation, data translation, logistical modeling and predictive modeling, to name a few. It’s important to understand that all A.I. relies on vast amounts of quality data and advanced analytics technology. The quality of the data used will determine the reliability of the A.I. output.
Machine learning is a subset of A.I. that utilizes advanced statistical techniques to enable computing systems to improve at tasks with experience over time. Chatbots like Amazon’s Alexa, Apple’s Siri, or any of the others from companies like Google and Microsoft all get better every year thanks to all of the use we give them and the machine learning that takes place in the background.
Deep learning is a subset of machine learning that uses advanced algorithms to enable an A.I. system to train itself to perform tasks by exposing multi-layered neural networks to vast amounts of data, then using what has been learned to recognize new patterns contained in the data. Learning can be Human Supervised Learning, Unsupervised Learningand/or Reinforcement Learning like Google used with DeepMind to learn how to beat humans at the complex game Go. Reinforcement learning will drive some of the biggest breakthroughs.
Autonomous computing uses advanced A.I. tools such as deep learning to enable systems to be self-governing and capable of acting according to situational data without human command. A.I. autonomy includes perception, high-speed analytics, machine-to-machine communications and movement. For example, autonomous vehicles use all of these in real time to successfully pilot a vehicle without a human driver.
Augmented thinking: Over the next five years and beyond, A.I. will become increasingly embedded at the chip level into objects, processes, products and services, and humans will augment their personal problem-solving and decision-making abilities with the insights A.I. provides to get to a better answer faster.
Technology is not good or evil, it is how we as humans apply it. Since we can’t stop the increasing power of A.I., I want us to direct its future, putting it to the best possible use for humans.
At the Royal Trinity Hospice in London, a dying woman and her husband revisited Venice, where they had gotten engaged — the simulation was part of a larger study about VR’s effect on physical and psychological symptoms at the end of life. Another woman walked the beaches of the Maldives. A third returned to Jerusalem, the city where she grew up.
Virtual reality may also encourage people to plan for the end of life, says Marilyn Gugliucci, director of geriatric education and research at the College of Osteopathic Medicine.